naa a22 4500 510756956 CHVBK 20180411083126.0 cr unu---uuuuu 180411e20130801xx s 000 0 eng 10.1007/s12594-013-0133-4 doi (NATIONALLICENCE)springer-10.1007/s12594-013-0133-4 Usefulness of adaptive filtering for improved Digital Elevation Model generation [Elektronische Daten] [Atanu Bhattacharya, Manoj Arora, Mukat Sharma] The Digital Elevation Models (DEMs), which represent the variation of elevation in a terrain at spatial level, are an important source of input to a variety of applications for deriving a number of terrain parameters such as relative relief, slope, aspect direction etc. In recent years, Synthetic Aperture Radar Interferometry has been viewed as a powerful approach to derive quality DEMs from a pair of SAR images. Despite the interferometric technique is often limited by several de-correlations several researchers demonstrate its effectiveness in topographic mapping. The DEM accuracy is strongly influenced by the effectiveness of the phase unwrapping technique. In this study an effective adaptive filtering approach has been used to reduce the phase noise due to de-correlation and in improving the accuracy of phase unwrapping. Two well known phase unwrapping approaches such as branch cut and minimum cost flow network have been used. Interferometric data from ASAR sensor onboard ENVISAT satellite have been used. A highly undulated terrain condition near Dehradun city situated in Uttarakhand state of India was selected to investigate the performance of this adaptive filtering approach. The RMS error between the InSAR derived elevations and the map derived elevations was obtained as 7.2 m using adaptive filter. However, elevation map of the study area could not be generated due to high de-correlation effect without the use of adaptive filter. This result clearly demonstrates the effectiveness of adaptive filtering approach for generation of DEM at meter level accuracy, which is sufficient for many engineering applications. Geological Society of India, 2013 Synthetic Aperture Radar (SAR), Adaptive Filter nationallicence Digital Elevation Model (DEM) nationallicence Phase Unwrapping nationallicence Bhattacharya Atanu Earthquake Engineering Department, IIT Roorkee, 247 667, Roorkee, India aut Arora Manoj Civil Engineering Department, IIT Roorkee, 247 667, Roorkee, India aut Sharma Mukat Earthquake Engineering Department, IIT Roorkee, 247 667, Roorkee, India aut Journal of the Geological Society of India Springer India 82/2(2013-08-01), 153-161 0016-7622 82:2<153 2013 82 12594 https://doi.org/10.1007/s12594-013-0133-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12594-013-0133-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Bhattacharya Atanu Earthquake Engineering Department, IIT Roorkee, 247 667, Roorkee, India aut NATIONALLICENCE 700 1- Arora Manoj Civil Engineering Department, IIT Roorkee, 247 667, Roorkee, India aut NATIONALLICENCE 700 1- Sharma Mukat Earthquake Engineering Department, IIT Roorkee, 247 667, Roorkee, India aut NATIONALLICENCE 773 0- Journal of the Geological Society of India Springer India 82/2(2013-08-01), 153-161 0016-7622 82:2<153 2013 82 12594 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer